Impact of Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) GFR Estimating Equations on CKD Prevalence and Classification Among Asians

Autor: Bjorn Kaijun Betzler, Rehena Sultana, Feng He, Yih Chung Tham, Cynthia Ciwei Lim, Ya Xing Wang, Vinay Nangia, E. Shyong Tai, Tyler Hyungtaek Rim, Mukharram M. Bikbov, Jost B. Jonas, Se Woong Kang, Kyu Hyung Park, Ching-Yu Cheng, Charumathi Sabanayagam
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Frontiers in Medicine, Vol 9 (2022)
Druh dokumentu: article
ISSN: 2296-858X
DOI: 10.3389/fmed.2022.957437
Popis: BackgroundIn 2021, the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) validated a new equation for estimated glomerular filtration rate (eGFR). However, this new equation is not ethnic-specific, and prevalence of CKD in Asians is known to differ from other ethnicities. This study evaluates the impact of the 2009 and 2021 creatinine-based eGFR equations on the prevalence of CKD in multiple Asian cohorts.MethodsEight population-based studies from China, India, Russia (Asian), Singapore and South Korea provided individual-level data (n = 67,233). GFR was estimated using both the 2009 CKD-EPI equation developed using creatinine, age, sex, and race (eGFRcr [2009, ASR]) and the 2021 CKD-EPI equation developed without race (eGFRcr [2021, AS]). CKD was defined as an estimated glomerular filtration rate (eGFR)
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